dataease/SQLBot
Text-to-SQL Generation via LLMs using RAG. Why it matters: relevant for grounding LLMs in your own data.
GitHub description: 🔥 基于大模型和 RAG 的智能问数系统,对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG.
Stars
6.9k
Last 24h
+10
Last 7 days
+70est.
Forks
896
Star history
GitHub stars over time. A steeper line means the repo is gaining attention faster.
Last 2 hours · +3 stars
Daily, since Oct 13, 2026 · 6.9k → 6.9k
* / est. Estimated: until we have enough daily snapshots for a repo, its gain is total stars ÷ days since creation. Measured numbers replace estimates automatically.
Maintainer? Add the badge to your README
Shows your live OSS Radar rank and links back here. Updates hourly.
[](https://ossradar.net/repo/dataease/SQLBot)<a href="https://ossradar.net/repo/dataease/SQLBot"><img src="https://ossradar.net/badge/dataease/SQLBot" alt="Trending on OSS Radar"></a>About SQLBot
dataease/SQLBot is a JavaScript project in the RAG / vector category, created 18 months ago. It has 6.9k GitHub stars and 896 forks, and gained +70 stars over the last 7 days (early estimate), ranking #7 of 11 RAG / vector repos tracked by OSS Radar this week.
See more trending RAG / vector repos or the top AI repos this week. Looking for something similar? See SQLBot alternatives.
- Language
- JavaScript
- Category
- RAG / vector
- Created
- Apr 21, 2025
- Last code push
- 2 days ago (Oct 12, 2026)
- Latest release
- v1.10.2 21 days ago
Similar rising repos
- deeplethe/utopia+112est.
World's first open-source enterprise world model. Why it matters: relevant for grounding LLMs in your own data.
- HKUDS/LightRAG+63est.
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation. Why it matters: relevant for grounding LLMs in your own data.
- microsoft/graphrag+56est.
A modular graph-based Retrieval-Augmented Generation (RAG) system. Why it matters: relevant for grounding LLMs in your own data.
- NirDiamant/RAG_Techniques+56est.
A collection of runnable notebook tutorials covering techniques for building Retrieval-Augmented Generation (RAG) systems. Why it matters: relevant for grounding LLMs in your own data.
- HKUDS/DeepTutor+364est.
DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/. Why it matters: relevant for grounding LLMs in your own data.
- infiniflow/ragflow+210est.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a… Why it matters: relevant for grounding LLMs in your own data.